📝Clint's Notes

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        • Cognitive Robotics
        • Human-Robot Interaction (HRI)
        • Robotics
          • Convolutional Neural Networks
          • Deep Computer Vision
          • Convolution
          • Corner Detection
          • Edge Detection
          • Gaussian Smoothing
          • Grey-Level Processing
          • Image Noise
          • Image Processing
          • Image Representation
          • Image smoothing
          • Image Subsampling
          • Rank Filtering
          • Local Feature Detection
          • Object Recognition
          • SIFT
          • Visual Bag of Words
          • Kalman Filter
          • Object Tracking
          • Particle Filter
          • Camera Calibration
          • Stereo Vision
        • Binary Segmentation
        • Computer Vision
        • Face Detection
        • Image Segmentation
        • Activation Functions
        • Adversarial Training
        • AutoEncoders
        • Backpropagation
        • Dropout
        • Early Stopping
        • Exploding Gradient Problem
        • Gradient Clipping
        • Initializing weights and biases
        • Issues with training neural networks
        • Neural Network
        • Non convex optimization problem
        • Overfitting in Neural Networks
        • Perceptron
        • ReLU activation
        • Saturation
        • Sigmoid or Logistic Activation
        • Softmax activation
        • Tanh activation
        • Unsupervised Pre-Training
        • Vanishing Gradient Problem
            • CART
            • Decision Trees
            • Ensemble Decision Trees
            • Entropy
            • Gini Index
            • ID3
            • Information Gain
            • Information Gain Ratio
            • Pruning
            • Random Forest
            • Reduced Error Pruning (REP)
            • Variance for Regression Trees
          • Classification
          • Cross Entropy Error
          • Logistic Regression
          • Logistic Regression Gradient
          • Logistic Sigmoid Function
          • Nearest Neighbour Classifier
          • Support Vector Classifier
          • Clustering
          • Gaussian Mixture Models
          • K-means Clustering
          • Mean shift Clustering
          • Adaboost
          • Bagging
          • Boosting
          • Ensemble methods
          • Stacking
          • Subspace Sampling
          • bias-variance tradeoff
          • Cross-validation
          • Crowdsourced data annotation
          • Ethical Considerations in ML
          • Evaluation of ML systems
          • Feature Engineering
          • Gold Standard Data
          • Gradient Descent
          • Hyperparameters
          • ML Process
          • Normalization
          • Online Learning
          • Overfitting
          • Regularization
          • Standardization
          • Stochastic Gradient Descent
          • Underfitting
          • Gaussian Regression
          • L1 L2 Regularization
          • Linear Regression Gradient Descent
          • Linear Regression Model
          • Regression
        • Distant Supervision
        • IID
        • Machine Learning
        • Semi supervised ML
        • Supervised ML
        • Support Vector Machines
        • Unsupervised ML
        • Weak Supervision
          • Attention
          • BERT
          • ELMO
          • LSTM
          • Recurrent Neural Network
          • Transformers
          • Distributional Hypothesis
          • Endocentric and exocentric constructions
          • head
          • Predicate-Argument Structures (PAS)
          • Statistical Semantics
          • Verb Valency
          • Enju Parser
          • GENIA corpus
          • Penn Treebank corpus
          • Penn Treebank tagset
          • SemCor
          • spaCy
          • Universal dependency relations
          • Universal Scheme tagset
          • WordNet
          • Annotation Formats
          • Dependency Structure Parsing
          • Lemmatization
          • N-grams
          • Phrase Structure Parsing
          • POS Tagging
          • Sentence Segmentation
          • Syntactic Parsing
          • Tokenization
          • Bootstrapping in Pattern-Based Relation Extraction
          • Relation Extraction
          • CBOW
          • Distance Discount
          • Distributional Semantics
          • Laplace Smoothing
          • Lesk Algorithm
          • Skip-Gram
          • Term-Document matrices
          • Term-Term matrices
          • TF-IDF
          • Word Embeddings
          • Word-Sense Disambiguation
          • Word2Vec
          • Sentiment Analysis
          • Social Media Analytics
          • Latent Dirichlet Allocation (LDA)
          • Topic Modelling
        • Inter Annotator Agreement (IAA)
        • NLP
        • Chinese Room Argument
        • ELIZA effect
        • Deep Reinforcement Learning
        • Exploration-Exploitation Tradeoff
        • Markov Decision Processes (MDPs)
        • Multi-Armed Bandit
        • Reinforcement Learning
        • Reinforcement Learning from Human Feedback (RLHF)
            • CCA math
            • cMDS math
            • Dual PCA
            • MDS formulation
            • PCA math
          • Canonical Correlation Analysis (CCA)
          • CCA Extensions
          • Classical MDS (cMDS)
          • Linear Manifold Learning
          • MDS Extensions
          • MDS Lee stress gradient
          • Multi dimensional Scaling (MDS)
          • PCA Extensions
          • Principal Component Analysis (PCA)
          • Proportion of Variance
          • Stress-Based MDS
          • Diffusion Map LLE
          • Hessian LLE
          • ISOMAP Extensions
          • Isometric Feature Mapping (ISOMAP)
          • k-nearest neighbors algorithm (k-NN)
          • LLE Extensions
          • Local Tangent Space Alignment (LTSA)
          • Locally Linear Embedding (LLE)
          • Non Linear Manifold Learning
        • Curse of Dimensionality
        • Dimension Reduction
        • Latent Factor
        • Manifold learning
        • Representation Learning
        • AI & Capitalism
      • Artificial Intelligence
      • Intelligence
        • Lagrangian Multipliers
        • Matrix Calculus
        • Minima and Maxima
        • Sigmoid Function
        • Softmax function
        • Tanh
        • Graph Cut
        • basis vectors
        • Cosine Similarity
        • Eigen Analysis
        • linear projection
        • linear transformation
        • Matrices
        • Scalar to Vector-matrix form
        • Spectral Decomposition
        • SVD
        • vector space
        • Vectors
        • Bayes Theorem
        • Bernoulli Distribution
        • Combination
        • Gaussian Distribution
        • probability
        • euclidean space
        • geodesic distance
        • Manifold
        • topological space
        • Correlation & Covariance
        • Inter-rater Reliability
        • MAE
        • mean vector
        • Normalization Formula
        • RMSE
        • Standard deviation
        • Standardization Formula
        • Variance
      • bijection
      • Convex Function
      • Convex set
      • Euler's number
      • Frobenius Norm
      • Gram matrix
      • homeomorphism
      • Kronecker Delta
      • L1 Norm
      • L2 Norm
      • Logarithms
      • Norms
      • pigeonhole principle
      • quadratic formula
      • ReLU formula
      • Robbins-Monro
          • live streaming class diagram
        • Live Streaming App
        • Blockchains
        • CAP Theorem
        • Consistent Hashing
        • Distributed Systems
        • Load Balancing
        • Microservices
        • CDN
        • HLS
        • HTTP
        • MPEG-DASH
        • Network Protocols
        • REST
        • RPC
        • RTMP
        • SOAP
        • TCP
        • UDP
        • WebRTC
        • ACID
        • Databases
        • File Systems
        • NoSQL Databases
        • Relational Databases
        • Storage
        • Vector Databases
      • Caching
      • CDN
      • Design Principles
      • Estimation of scale
      • Evaluation of Software Systems
      • Horizontal vs Vertical Scaling
      • Locality of Reference
      • Software Design
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    Databases

    Databases

    Jun 06, 20251 min read

    • Relational Databases
    • NoSQL Databases
    • Distributed Databases
    • Vector Databases

    Network Protocols in Databases

    Most database clients describe the network protocols used in the database (usually TCP backed). For example, Elasticsearch has an HTTP based protocol.


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